• Journal of the Korea Society for Simulation
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• v.28 no.3
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• pp.49-56
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• 2019

In this paper, we deal with two pricing of bond options using the relationship between the forward rate model and the Libor rate model. First, we derive a formula for obtaining discounted bond prices using the restrictive condition of the Ritchken and Sankarasubramanian (RS), and then use the volatility function relationship of the forward rate and the Libor rate models to find the analytic solution (AS) of bond options pricing. Second, the price of the bond options is calculated by simulating several scenarios from the presented condition using Monte Carlo Simulation (MCS). Comparing the results of the implementation of the above two pricing methods, the relative error (RE) is obtained, which means the ratio of AS and MCS. From the results, we can confirm that the RE is around 3.9%, which means that the price of the bond options can be predicted very accurately using the MCS as well as AS.

• 월간낙농육우
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• v.31 no.9
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• pp.105-108
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• 2011

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.480-481
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• 2013

클라우드 서비스를 위한 가격결정은 서비스 제공자 중심의 정책으로 수립되어 가장 큰 이익을 줄 수 있는 모델로 제안되고 있다. 하지만, 클라우드 서비스 브로커 개념의 등장으로 서비스 중개 방식을 이용하여 서비스 제공자와 소비자 모두에게 이익을 줄 수 있는 모델을 제공하고자 노력하고 있다. 이와 같은 노력에 있어 가격결정 정책에 대한 분석을 수행하고 그를 만족할 수 있는 모델을 제안한다. 클라우드 브로커가 사용자의 서비스 미사용량과 SLA를 기반한 서비스 품질을 기준으로 환불 등의 서비스를 제공하는 모델이다. 이와 같은 모델은 클라우드 서비스 활성화에 큰 도움이 될 것으로 기대된다.

• Journal of Korea Port Economic Association
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• v.33 no.1
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• pp.75-87
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• 2017

The purpose of this study is to utilize the system dynamics to carry out a medium and long-term forecasting analysis of the bunker price. In order to secure accurate bunker price forecast, a quantitative analysis was established based on the casual loop diagram between various variables that affects bunker price. Based on various configuration variables such as crude oil price which affects crude oil consumption & production, GDP and exchange rate which influences economic changes and freight rate which is decided by supply and demand in shipping and logistic market were used in accordance with System Dynamics to forecast bunker price and then objectivity was verified through MAPEs. Based on the result of this study, bunker price is expected to rise until 2029 compared to 2016 but it will not be near the surge sighted in 2012. This study holds value in two ways. First, it supports shipping companies to efficiently manage its fleet, offering comprehensive bunker price risk management by presenting structural relationship between various variables affecting bunker price. Second, rational result derived from bunker price forecast by utilizing dynamic casual loop between various variables.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.291-300
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• 1999

본 논문은 인공신경망과 귀납적 학습방법 등의 인공지능 방법과 선물가격결정에 대한 기존 재무이론을 사용하여 일상어휘로 표현되는 파생상품 가격예측 모형을 개발하는데 있다. 모형의 개발은 1단계로 인공신경망이나 기존의 선물가격결정이론(평균보유비용모형이나 일반균형모형)을 이용하여 선물 가격을 예측한 후, 서로 비교분석하여 인공신경망 모형의 우수성을 확인하였다. 귀납적 학습방법중 CART 알고리듬을 사용하여 If-Then 규칙을 생성하였다. 특히 실용적 측면에서 선물가격의 일상어휘화를 통한 모형개발을 여러 가지 방법으로 시도하였다. 이러한 선물가격 예측모형의 유용성은 일단 If-Then 규칙으로 표현되어 전문가의 판단에 확실한 이론적인 근거를 제시할 수 있는 장점이 있으며, 특히 의사결정지원시스템으로 활용화 될 경우 매우 유용한 근거자료로 활용될 수 있다. 이러한 선물가격 예측모형은 정확성은 분석표본과 검증표본으로 나누어 검증표본에서 세가지 기본모형(평균보유비용모형, 일반균형모형, 인공신경망 모형)과 각 모형의 귀납적 학습방법 모형의 다른 3가지 어휘표현방법 3가지를 모형별로 비교 분석하였다. 분석결과 인공신경망모형은 상당한 예측력을 갖고 있는 것으로 판명되었으며, 특히 CART를 기반으로 한 일상어휘 기반의 선물가격예측 모형은 예측력이 높은 것으로 나타났다.

• Journal of the military operations research society of Korea
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• v.37 no.1
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• pp.99-118
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• 2011

According to the National Contract Law, when determining Estimation cost Contract officers should consider contract quantity, contract period, supply and demand condition, difficulty of contract enforcement, terms and condition, and other various conditions based market price, costing based pricing, and appraisal. And they should not overestimate or underestimate the estimation cost. But the estimation cost system is used as preparedness for audit against the contract law. In this study, we identified the factors affecting estimation cost and analyzed their influence on estimation cost.

• Korea Petroleum Association Journal
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• no.10 s.20
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• pp.6-12
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• 1982

1.문제의 제기2.석유류가격의 구조분석 1)단계별 사격형성과정2)공장도가격의 결정요인 3.석규류가격의 국제비교 1)가격정책비교2)국별가격비교3)국내가격수준의 평가4.석유류가격정책의 전환방향 1)유가자율화실시의 타당성 2)유가자율화 실시에 따른 난제 3)합리적인 가격정책방향

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.108-115
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• 2016

The price determinant for land investment depends on the internal information process and subjective decision making by management in general. Accordingly, the systematic frame to determine the feasibility of investment price to the public residential land for multi-housing development by private sector has not been proposed. The purpose of this study is to explore the frame to determine the investment price for public residential land from the perspectives of land attribute and apartment market factor. Multiple regression has been implemented to confirm the eligibility of proposed model. Research findings indicate that the land area, floor area ratio, coverage ratio, location have been identified as the total land cost determinant, and for the determinants for floor area land cost, the ratio of apartment, sale price, rent price, etc, have been identified. This research intends to provide the basis for land providers to predict the land value as a raw material in market and present the indicators for land buyers to review the price adequacy for the investment.

• The Korean Journal of Financial Management
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• v.20 no.1
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• pp.1-27
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• 2003

The purpose of this study is to empirically investigate the role of capitalized intangibles such as patents, copy rights and R&D and non-capitalized intangibles such as advertising expenses and labor-related expenses, which are considered to be important to generating future excess profits, on the valuation of IPO shares. This study examines 125 firms which went public during 1992 - 1998. The result suggests that advertising expenses do not have significant influence on the offer price and the market price of IPO shares. On the other hand, R&D and labor-related expenses play important role in determining the offer price and the market price of IPO shares. In case of capitalized intangible assets, they we important factors in determining the market price but not the of for price. This study suspects that the Securities and Exchange Law of the Korean Securities Exchange Commission potentially contribute to the result of no effect of capitalized intangibles (except R&D) on the offer price by underwriters. According to the Law, any intangible assets which are considered to be irrelevant to the valuation of IPO shares must be exclued. This is very ambiguous and potentially cause underwriters to exclude any intangibles difficult to measure their value. However the market considers capitalized intangibles to be important, as suggested by the result of this study. To reduce this valuation asymmetry, it is important to reveal detailed information regarding the valuation of assets, in particular, intangible assets to the public.

• The Journal of Society for e-Business Studies
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• v.11 no.2
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• pp.31-48
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• 2006

Commercial internet auction systems have been successfully used recently. In those systems, because auction prices of auction items are given by sellers only, the success bid rate can be decreased due to the large difference between the reserve price and the normal price. In this paper, we propose an agent that generates auction prices to sellers based on past auction data and item prices gathered from the web Through performance experiments, we show that the successful bid rate increases by preventing sellers from making unreasonable reserve prices. Using the pricing agent, we design and implement an XML-based auction system on the web.